Personality and neuropsychiatric symptoms in individuals diagnosed with long COVID.

Objective: This study investigates persistent physical and neuropsychiatric symptoms in Long COVID, focusing on their severity and assessing risk/resilience factors, including conscientiousness and neuroticism. The study utilizes a mediation model to explore the potential role of psychological distress in mediating its impact on cognitive decline.

Methods: In an online survey, 114 participants diagnosed with Long COVID completed assessments, including the Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder (GAD-7) for psychological distress, Subjective Cognitive Decline (SCD) questionnaire for cognitive decline, Pittsburgh Sleep Quality Index (PSQI) for sleep disorders, and Multidimensional Scale of Perceived Social Support (MSPSS) with "BIG-5 inventory" subscales for risk/resilience factors.

The Outcome of Octogenarian Patients with Multiple Myeloma Treated Outside Clinical Studies, Focusing on Tolerability and Efficacy of Treatment.

Data on the outcome of octogenarian multiple myeloma (MM) patients (pts), especially if treated outside clinical studies, are scanty. : MM pts ≥ 80 years, treated at TASMC with first-line therapy between 2010 and 2023, were reviewed. Characteristics and outcomes were analyzed.

Use of lung ultrasound to assess volume status and its association with physical examination in patients with chronic kidney disease.

Introduction: Defining the optimal hydration status in patients with chronic kidney disease (CKD) is challenging, and the quest for an objective accurate method continues. Lung ultrasound (LUS) is a well-validated technique to estimate volume status. Previous studies examining the relationship between LUS and physical examination demonstrated conflicting results.

Long COVID-19 Enigma: Unmasking the Role of Distinctive Personality Profiles as Risk Factors.

The COVID-19 (Coronavirus disease 2019) pandemic has prompted extensive research into lingering effects, especially in 'Long COVID' patients. Despite exploration, contributing factors remain elusive; This study explores the potential link between distinctive personality profiles, particularly type D personality, and an increased risk of Long COVID; A retrospective cross-sectional study at Tel-Aviv Sourasky Medical Center's Post-COVID clinic analyzed data from 373 Long COVID patients through comprehensive questionnaires covering Long COVID syndrome, Fibromyalgia criteria, personality assessments, social support, and subjective evaluations of cognitive decline, health and life quality. In total, 116 out of 373 patients completed the questionnaire, yielding a 31% participation rate; Cluster analysis revealed two groups, with Cluster 1 (N = 58) exhibiting Type D personality traits while Cluster 2 (N = 56) not meeting criteria for Type D personality.

Perspective: Limiting Antimicrobial Resistance with Artificial Intelligence/Machine Learning.

The author traces his experience with the application of computers in clinical microbiology over the past 60 years, specifically in directing clinicians to treat bacterial infections diagnosed by the laboratory and the antibacterial agent(s) that could be used to treat those infections. Appropriate use of antibiotics will result in reduced antimicrobial resistance, which is increasing worldwide. An early form of AI, Mycin (1976), a system based on rules provided by experts designed to propose antibiotic regimens for central nervous system infections, was never applied due to the limitations in the number of rules that could be incorporated into the clinical workflow.